CN109982345B - Method, device and storage medium for determining co-channel interference - Google Patents

Method, device and storage medium for determining co-channel interference Download PDF

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CN109982345B
CN109982345B CN201711449225.5A CN201711449225A CN109982345B CN 109982345 B CN109982345 B CN 109982345B CN 201711449225 A CN201711449225 A CN 201711449225A CN 109982345 B CN109982345 B CN 109982345B
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CN109982345A (en
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陈建军
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Beijing Xiaomi Pinecone Electronic Co Ltd
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Abstract

The embodiment of the disclosure relates to a method, a device and a storage medium for determining co-channel interference, wherein the method comprises the following steps: acquiring sampling data of a target time slot, and calculating a first LLR (log likelihood ratio) corresponding to a target data bit in the sampling data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference, and a second LLR corresponding to a target data bit in the sampling data is calculated through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with co-channel interference, and the probability of the co-channel interference in the target time slot is determined according to the first LLR and the second LLR, so that the co-channel interference scene is more accurately judged.

Description

Method, device and storage medium for determining co-channel interference
Technical Field
The disclosed embodiments relate to the field of communications, and in particular, to a method, an apparatus, and a storage medium for determining co-channel interference.
Background
In the demodulation and decoding of GSM (Global System for Mobile Communication), it is usually necessary to determine whether a GSM timeslot has co-channel interference, and if it is determined that the timeslot has no co-channel interference, the GSM (Maximum Likelihood Sequence Estimation) method is usually used for demodulation; if the time slot is judged to have co-channel Interference, methods such as Interference Cancellation, Interference suppression, Joint detection or decision feedback and the like can be used for equalization and demodulation, for example, methods such as SAIC (Single Antenna Interference Cancellation algorithm) or JMLSE (Joint Maximum Likelihood Sequence Estimation) and the like.
In the prior art, a signal-to-interference ratio (that is, the sum of signal energy divided by interference and noise energy) may be calculated from a received signal corresponding to a pilot bit in the middle of a target time slot to be demodulated, when the calculated signal-to-interference ratio is greater than or equal to a preset threshold, it is determined that there is no co-channel interference in the target time slot to be demodulated, and when the calculated signal-to-interference ratio is less than the preset threshold, it is determined that there is co-channel interference in the target time slot to be demodulated.
However, when determining whether co-channel interference exists through the prior art, the inventors found that: the co-channel interference is determined by the signal-to-interference ratio, and only two judgment results of judging the existence or non-existence of the co-channel interference are obtained, so that the judgment of the possibility of the co-channel interference in the prior art is not accurate enough.
Disclosure of Invention
In order to solve the above problem, embodiments of the present disclosure provide a method, an apparatus, and a storage medium for determining co-channel interference, so as to improve the accuracy of co-channel interference determination.
The embodiment of the disclosure provides a method for determining co-channel interference, which includes: acquiring sampling data of a target time slot; calculating a first Log-likelihood Ratio (LLR) corresponding to a target data bit in the sampling data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without co-frequency interference; calculating a second LLR corresponding to a target data bit in the sampling data through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with same frequency interference; and determining the probability of co-channel interference of the target time slot according to the first LLR and the second LLR.
The embodiment of the present disclosure provides a device for determining co-channel interference, including: the acquisition module is used for acquiring the sampling data of the target time slot; the first calculation module is used for calculating a first LLR (log likelihood ratio) corresponding to a target data bit in the sampling data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference; the second calculation module is used for calculating a second LLR corresponding to each data bit of the sampling data through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with same frequency interference; and the processing module is used for determining the probability of co-channel interference existing in the target time slot according to the first LLR and the second LLR.
The embodiment of the present disclosure further provides a computer-readable storage medium, which includes one or more programs, where the one or more programs are used to execute the method for determining co-channel interference provided in any embodiment of the present disclosure.
The embodiment of the present disclosure further provides a device for determining co-channel interference, including: a computer-readable storage medium provided in any embodiment of the present disclosure; and one or more processors to execute the program in the computer-readable storage medium.
By adopting the technical scheme, the sampling data of the target time slot is obtained, and a first LLR (log likelihood ratio) corresponding to a target data bit in the sampling data is calculated through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference, and a second LLR corresponding to a target data bit in the sampling data is calculated through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with co-frequency interference, and the probability of co-frequency interference in the target time slot is determined according to the first LLR and the second LLR, so that the embodiment of the disclosure calculates the LLR of each data bit through corresponding different demodulation algorithms by assuming that two scenes with co-frequency interference and no co-frequency interference exist, and judges the interference scene through the calculated LLRs corresponding to the two scenes, thereby improving the accuracy of judging the co-frequency interference scene.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
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The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a schematic flowchart of a method for determining co-channel interference according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another method for determining co-channel interference according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another method for determining co-channel interference according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an apparatus for determining co-channel interference according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another apparatus for determining co-channel interference according to an embodiment of the present disclosure.
Detailed Description
The following detailed description of the embodiments of the disclosure refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
First, an application scenario of the present disclosure is described, where the present disclosure is applied to a scenario of demodulating and decoding received sample data, in a demodulation and decoding process of GSM, a GSM timeslot may be subjected to co-channel interference, and the co-channel interference does not exist in every timeslot, and each timeslot is also different in interference situation, from a receiver performance perspective, when demodulating the sample data, a proper demodulation algorithm needs to be selected according to an interference situation, and if a relevant algorithm (such as interference cancellation, interference suppression, joint detection or decision feedback, etc.) with interference is used for demodulation in a scenario without interference, demodulation performance may be degraded, and vice versa.
Therefore, before demodulation, it is usually necessary to determine whether a GSM timeslot has co-channel interference, and if it is determined that the timeslot has no co-channel interference, demodulation is usually performed by using an MLSE method; if the time slot has co-channel interference, the method such as interference cancellation, interference suppression, joint detection or decision feedback can be used for equalization and demodulation, for example, the method such as SAIC, JMLSE, etc. is used for demodulation, the demodulation result can be soft bits obtained by LLR of data bits carried by each time slot, and then the soft bits belonging to a plurality of time slots of a data frame are combined and delivered to a decoder for decoding.
The method respectively assumes two scenes of existence of co-frequency interference and non-existence of co-frequency interference, calculates LLRs (bit likelihood ratios) of target data bits through corresponding different demodulation algorithms, and judges the existence probability of the interference scene through the calculated LLRs corresponding to the two scenes, thereby more accurately judging the co-frequency interference.
The present disclosure is described in detail below with reference to specific examples.
Fig. 1 is a method for determining co-channel interference according to an embodiment of the present disclosure, and as shown in fig. 1, the method includes:
s101, acquiring sampling data of a target time slot.
S102, calculating a first LLR corresponding to a target data bit in the sampling data through a first preset demodulation algorithm.
The first preset demodulation algorithm is a demodulation algorithm applicable to a scene without co-channel interference. For example, the first preset demodulation algorithm may be an MLSE algorithm.
And S103, calculating a second LLR corresponding to the target data bit in the sampling data through a second preset demodulation algorithm.
The second preset demodulation algorithm is a demodulation algorithm applicable to a scene with co-channel interference, for example, the second preset demodulation algorithm may be an algorithm such as an SAIC method, a JMLSE method, or the like.
And S104, determining the probability of co-channel interference existing in the target time slot according to the first LLR and the second LLR.
In this step, whether co-channel interference exists in the target timeslot can be determined in two ways: one way is to calculate a likelihood ratio according to the first LLR and the second LLR, and determine the probability of co-channel interference in the target timeslot through the likelihood ratio, and the other way is to calculate a first estimated received signal and a first signal-to-interference ratio estimated value according to the first LLR, calculate a second estimated received signal and a second signal-to-interference ratio estimated value according to the second LLR, and determine the probability of co-channel interference in the target timeslot according to the first estimated received signal, the first signal-to-interference ratio estimated value, the second estimated received signal, and the second signal-to-interference ratio estimated value.
By adopting the method, the situation that the same frequency interference exists and the situation that the same frequency interference does not exist is assumed, the LLR of the target data bit is calculated through corresponding different demodulation algorithms, and the probability of existence of the interference situation is judged through the calculated LLR corresponding to the two situations, so that the same frequency interference is judged more accurately.
Fig. 2 is a method for determining co-channel interference according to an embodiment of the present disclosure, and as shown in fig. 2, in this embodiment, a likelihood ratio is calculated according to the first LLR and the second LLR, and a probability that co-channel interference exists in the target timeslot is determined according to the likelihood ratio, where the method includes:
s201, acquiring sampling data of a target time slot.
In this step, the received signal corresponding to the target timeslot may be sampled, so as to obtain the sampled data; after the sample data is obtained, the sample data may be preprocessed, where the preprocessing may be dc removal, frequency offset removal, channel estimation, and the like.
S202, calculating a first LLR corresponding to a target data bit in the sampling data through a first preset demodulation algorithm.
The first preset demodulation algorithm is a demodulation algorithm applicable to a scene without co-channel interference. For example, the first preset demodulation algorithm may be an MLSE algorithm.
And S203, calculating a second LLR corresponding to the target data bit in the sampling data through a second preset demodulation algorithm.
The second preset demodulation algorithm is a demodulation algorithm applicable to a scene with co-channel interference, for example, the second preset demodulation algorithm may be an algorithm such as an SAIC method, a JMLSE method, or the like.
S204, acquiring the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR corresponding to the target data bit in the sampling data.
In order to solve the above problem, in a possible implementation manner, the target data bits may include a first data bit and a second data bit, where the first data bit is a data bit received before the pilot bit, and the target data bit is a data bit that is received before the pilot bit, because the data bit carried in a GSM timeslot is limited, and there may be only 100 data bits and the pilot bit has only 20 data bits, and therefore, in the prior art, only the signal-to-interference ratio of the received signal corresponding to the pilot bit is calculated, and the determination of co-channel interference may not be accurate; the second data bit is a data bit received after the pilot bit.
In this embodiment, the absolute values of the first LLRs corresponding to each of the first data bits may be added to obtain a first sum, and the absolute values of the second LLRs corresponding to each of the first data bits may be added to obtain a second sum; and adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum, so that in the subsequent steps, the probability that the target time slot has co-frequency interference is determined according to the first sum, the second sum, the third sum and the fourth sum.
It should be noted that, because there may be a timing offset between the primary cell and the cell in which the target timeslot is located, the first data bit may also be a data bit received before the position of the timing offset in the sample data, and the second data bit may also be a data bit received after the position of the timing offset in the sample data.
In another implementation, the target data bits may further include first data bits, second data bits, and pilot bits, and then the absolute values of the first LLRs corresponding to each of the first data bits may be added to obtain a first sum, and the absolute values of the second LLRs corresponding to each of the first data bits may be added to obtain a second sum; adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum; determining a first calculated value corresponding to a first LLR of the pilot bit, wherein the first calculated value comprises an absolute value of the first LLR or an inverse number of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a fifth sum; determining a second calculated value corresponding to a second LLR of the pilot bit, wherein the second calculated value comprises an absolute value of the second LLR or an inverse number of the absolute value of the second LLR; and adding the second calculated values corresponding to each pilot frequency bit to obtain a sixth sum, and determining the probability of co-channel interference existing in the target time slot according to the first sum to the sixth sum in subsequent steps.
It should be noted that, considering that co-channel interference may occur in a target time slot in a sub-time slot corresponding to a first data bit or a sub-time slot corresponding to a second data bit or a sub-time slot corresponding to a pilot bit, in another embodiment of the present disclosure, the target data bit may further include a first data bit or a pilot bit or a second data bit, and in this step, when the target data bit includes the first data bit or the second data bit, a sum of absolute values of first LLRs and a sum of absolute values of second LLRs corresponding to each of the first data bit or the pilot bit or the second data bit may be calculated, so that in a subsequent step, a sub-time slot corresponding to the first data bit in the target time slot or a sub-time slot corresponding to the pilot bit in the target time slot or a sub-time slot corresponding to the second data bit in the target time slot may be determined according to the sum of absolute values of the first LLRs and the sum of absolute values of the second LLRs The probability of co-channel interference of the corresponding sub-time slot is obtained;
when the target data bit comprises a pilot bit, determining a first calculated value corresponding to a first LLR of the pilot bit, wherein the first calculated value comprises an absolute value of the first LLR or an inverse value of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a seventh sum; determining a second calculated value corresponding to a second LLR of the pilot bit, wherein the second calculated value comprises an absolute value of the second LLR or an inverse number of the absolute value of the second LLR; and adding the second calculated value corresponding to each pilot bit to obtain an eighth sum.
As the LLR is a log value (probability of 0 for the data bit/probability of 1 for the data bit), which may be defined as log (probability of 0 for the data bit/probability of 1 for the data bit), if the LLR is a positive number, it indicates that the probability of 0 for the data bit is greater than the probability of 1, and the LLR tends to be in a positive infinite direction, the probability of 0 for the data bit is higher; when the LLR is a negative number, it indicates that the probability that the data bit is 1 is greater than the probability that the data bit is 0, and the more the LLR tends to the minus infinite direction, the higher the probability that the data bit is 1; when the demodulation result of one data bit is 0 and the first LLR corresponding to the data bit is a positive number, or when the demodulation result of one data bit is 1 and the first LLR corresponding to the data bit is a negative number, the demodulation result of the data bit is correct; when the demodulation result of one data bit is 0 and the first LLR corresponding to the data bit is a negative number, or when the demodulation result of one data bit is 1 and the first LLR corresponding to the data bit is a positive number, the demodulation result of the data bit is wrong; for a pilot bit, since the bit sequence of the pilot bit is known, when the pilot bit is 0 and the first LLR corresponding to the pilot bit is a positive number, or when the pilot bit is 1 and the first LLR corresponding to the pilot bit is a negative number, the first calculated value takes the absolute value of the first LLR; when the pilot bit is 0 and the first LLR corresponding to the pilot bit is a negative number, or when the pilot bit is 1 and the first LLR corresponding to the pilot bit is a positive number, the first calculated value is the inverse of the absolute value of the first LLR.
It should be noted that, the above is described by taking the determination of the first calculated value of the first LLR corresponding to the pilot bit as an example, and the determination of the second calculated value of the second LLR corresponding to the pilot bit may refer to the determination of the first calculated value of the first LLR corresponding to the pilot bit, which is not described again.
S205, calculating a likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR.
In this step, if the target data bit in step S204 includes a first data bit and a second data bit, in step S204, the first sum, the second sum, the third sum, and the fourth sum may be obtained, and in this step, the likelihood ratio may be obtained by the following formula:
Figure BDA0001528189320000081
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4Is the fourth sum, N1Is the number of the first data bits, N2Is the number of the second data bits.
If the target data bit in step S204 includes the first data bit, the second data bit, and the pilot bit, in step S204, the first sum, the second sum, the third sum, the fourth sum, the fifth sum, and the sixth sum may be obtained, and in this step, the likelihood ratio may be obtained through the following formula:
Figure BDA0001528189320000091
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4For the fourth sum, LLR5For the fifth sum, LLR6Is the sixth sum, N1Is the number of the first data bits, N2Is the number of the second data bits, N3Is the number of pilot bits.
If the target data bits in step S204 include the first data bits or the second data bits, the likelihood ratio can be obtained by the following formula:
Figure BDA0001528189320000092
wherein LR is the likelihood ratio, LLRnIs the sum of absolute values of the first LLR, LLRmIs the sum of the absolute values of the second LLRs, N being the number of target data bits;
if the target data bit in step S204 includes the first pilot bit, the likelihood ratio can be obtained by the following formula:
Figure BDA0001528189320000093
wherein LR is the likelihood ratio, LLRpFor the seventh sum, LLRqFor the eighth sum, N is the number of target data bits.
And S206, determining the probability of co-channel interference in the target time slot according to the likelihood ratio.
In this step, the probability of co-channel interference can be calculated by any one of the following three ways:
the first method is as follows: it may be determined whether the likelihood ratio is positive; when the likelihood ratio is positive, determining that the target data bit has co-channel interference (equivalent to one hundred percent of probability) in the corresponding time slot of the target time slot; and when the likelihood ratio is negative, determining that the target data bit does not have co-channel interference in the corresponding time slot of the target time slot (equivalent to the probability of 0).
The second method comprises the following steps: can be represented by the formula: p1 ═ LR/(1+ LR) gives the probability of the presence of co-channel interference.
Wherein, P1 is the probability of co-channel interference and LR is the likelihood ratio.
The above formula is obtained by defining a likelihood ratio, where LR is P1/P0, and P1+ P0 is 1, so that P1 is LR/(1+ LR).
The third method comprises the following steps: determining a target likelihood ratio range where the likelihood ratio is located in a preset likelihood ratio range, and determining an interference probability corresponding to the target likelihood ratio range, wherein the interference probability represents the probability of existence of co-channel interference; wherein different preset likelihood ratio ranges correspond to different interference probabilities.
For example, if the likelihood ratio is greater than or equal to 10, the interference probability is determined to be 0.9, if the likelihood ratio is less than 10 and greater than or equal to 3, the interference probability is determined to be 0.7, if the likelihood ratio is less than 3 and greater than or equal to 1/3, the interference probability is determined to be 0.5, if the likelihood ratio is less than 1/3 and greater than or equal to 1/10, the interference probability is determined to be 0.3, and if the likelihood ratio is less than 1/10, the interference probability is determined to be 0.1.
Thus, the probability of the co-channel interference can be determined through the steps S201 to S206, and the sampled data is demodulated according to the determination result, that is, when the probability of the co-channel interference is smaller than the preset threshold, the sampled data can be demodulated by using a first preset demodulation algorithm, and when the probability of the co-channel interference is greater than or equal to the preset threshold, the sampled data can be demodulated by using a second preset demodulation algorithm.
It should be noted that, if the target data bit includes a first data bit or a second data bit or a pilot bit, determining that the probability of co-channel interference existing in the target time slot is the probability of co-channel interference existing in the sub-time slot carrying the first data bit or the sub-time slot carrying the second data bit or the sub-time slot carrying the pilot bit in this step, so that co-channel interference can be determined for a part of time slots in one target time slot, and accuracy of co-channel interference determination is improved.
Correspondingly, when demodulating the sampled data, if the results of the different sub-time slot judgments are different, the demodulation methods used may also be different, for example, if the probability that the sub-time slot carrying the first data bit has co-frequency interference is smaller than a preset threshold, and the probability that the sub-time slot carrying the second data bit has co-frequency interference is greater than or equal to the preset threshold, during demodulation, the first data bit may be demodulated by using a first preset demodulation algorithm, and the second data bit may be demodulated by using a second preset demodulation algorithm.
By adopting the method, the situation that the same frequency interference exists and the situation that the same frequency interference does not exist is assumed, the LLR of the target data bit is calculated through corresponding different demodulation algorithms, and the probability of existence of the interference situation is judged through the calculated LLR corresponding to the two situations, so that the same frequency interference is judged more accurately.
It should be noted that, for simplicity of description, the above method embodiments are all expressed as a series of action combinations, but those skilled in the art should understand that the present disclosure is not limited by the described action sequence. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the disclosure.
Fig. 3 is a method for determining co-channel interference according to an embodiment of the present disclosure, and as shown in fig. 3, in this embodiment, a first estimated received signal and a first signal-to-interference ratio estimated value are calculated according to a first LLR, a second estimated received signal and a second signal-to-interference ratio estimated value are calculated according to a second LLR, and a probability that co-channel interference exists in a target timeslot is determined according to the first estimated received signal, the second estimated received signal, the first signal-to-interference ratio estimated value, and the second signal-to-interference ratio estimated value, where the method includes:
s301, acquiring sampling data of the target time slot.
In this step, the received signal corresponding to the target timeslot may be sampled, so as to obtain the sampled data; after the sample data is obtained, the sample data may be preprocessed, where the preprocessing may be dc removal, frequency offset removal, channel estimation, and the like.
S302, calculating a first LLR corresponding to each data bit of the sampling data through a first preset demodulation algorithm.
The first preset demodulation algorithm is a demodulation algorithm applicable to a scene without co-channel interference. For example, the first preset demodulation algorithm may be an MLSE algorithm.
And S303, calculating a second LLR corresponding to each data bit of the sampling data through a second preset demodulation algorithm.
The second preset demodulation algorithm is a demodulation algorithm applicable to a scene with co-channel interference, for example, the second preset demodulation algorithm may be an algorithm such as an SAIC method, a JMLSE method, or the like.
S304, obtaining a first bit stream corresponding to the target data bit in the sample data according to the first LLR.
In this step, whether the corresponding data bit is 0 or 1 may be determined according to the sign of the first LLR, for example, if the sign of the first LLR is positive, the data bit is determined to be 0, and if the sign of the first LLR is negative, the data bit is determined to be 1, and whether the pilot bit is 0 or 1 is known, thereby obtaining the first bit stream.
S305, reconstructing a first estimated received signal according to the first bit stream, and obtaining a first interference estimated signal according to the first estimated received signal.
In this step, a first estimated transmit signal may be reconstructed according to the first bit stream, and the first estimated transmit signal may be convolved with the estimated channel obtained by channel estimation in the preprocessing, so as to reconstruct a first estimated receive signal, and after obtaining the first estimated receive signal, obtain a first interference estimated signal according to the following formula:
E(n)＝y(n)-r(n)
wherein e (n) is a first interference estimation signal, y (n) is a received signal corresponding to the target timeslot, r (n) is a first estimation received signal, and n represents an nth data bit in the sample data.
S306, acquiring a second bit stream corresponding to the target data bit in the sampling data according to the second LLR.
In this step, whether the corresponding data bit is 0 or 1 may be determined according to the sign of the second LLR, for example, if the sign of the second LLR is positive, it is determined that the data bit is 0, and if the sign of the second LLR is negative, it is determined that the data bit is 1, and whether the pilot bit is 0 or 1 is known, thereby obtaining the second bit stream.
S307, reconstructing a second estimated received signal according to the second bit stream, and obtaining a second interference estimated signal according to the second estimated received signal.
It should be noted that, for the acquisition of the second interference estimation signal, reference may be made to the description of the acquisition of the first interference burst base signal in step S205, and details are not repeated here.
S308, determining the probability of co-channel interference existing in the target time slot according to the first interference estimation signal and the second interference estimation signal.
In this step, the probability of co-channel interference existing in the target timeslot can be determined through the following steps:
s1, calculating a first sir estimate according to the first estimated received signal and the first interference estimated signal by a predetermined sir algorithm.
S2, calculating a second sir estimate according to the second estimated received signal and the second interference estimate signal by the predetermined sir algorithm.
Wherein, the preset signal-to-interference ratio algorithm comprises:
calculating the first or second signal-to-interference ratio estimate by:
Figure BDA0001528189320000131
wherein, when calculating the first sir estimate, CI is the first sir estimate, y (n) is the first estimated received signal, and e (n) is the first interference estimated signal; when calculating a second sir estimate, CI is the second sir estimate, y (n) is the second estimated received signal, and e (n) is the second interference estimated signal;
m is the number of the target data bits, and n represents the nth data bit in the sample data.
And S3, determining the probability of co-channel interference existing in the target time slot according to the first signal-to-interference ratio estimation value and the second signal-to-interference ratio estimation value.
In one possible implementation, determining whether the second sir estimate is greater than or equal to the first sir estimate; when the second signal-to-interference ratio estimation value is greater than or equal to the first signal-to-interference ratio estimation value, determining that the co-channel interference exists in the target time slot (equivalent to the probability of one hundred percent); and when the second signal-to-interference ratio estimation value is smaller than the first signal-to-interference ratio estimation value, determining that the co-channel interference does not exist in the target time slot (equivalent to the probability of 0). Therefore, the alternative hard decision can be carried out through the method, namely the judgment result comprises one of the existence of co-channel interference or the absence of co-channel interference.
In another possible implementation, a difference between the second sir estimate and the first sir estimate may be calculated; determining a target difference range in which the difference is located in a preset difference range; determining the interference probability corresponding to the target difference range, wherein the interference probability represents the probability of co-channel interference; different preset difference ranges correspond to different interference probabilities.
For example, if the difference is greater than 6dB, the interference probability is determined to be 95%, if the difference is greater than 3dB and less than or equal to 6dB, the interference probability is determined to be 75%, if the difference is greater than 0dB and less than or equal to 3dB, the interference probability is determined to be 50%, if the difference is greater than-3 dB and less than or equal to 0dB, the interference probability is determined to be 25%, and if the difference is less than or equal to-3 dB, the interference probability is determined to be 5%. Therefore, the method can determine the probability of the existence of co-channel interference so as to cope with the scene with low success rate of alternative hard decision.
It should be noted that, in consideration of the fact that co-channel interference may occur in different sub-slots within a target time slot, such as a sub-slot carrying a first data bit or a sub-slot carrying a second data bit, where the first data bit is a data bit received before a pilot bit; the second data bit is a data bit received after the pilot bit. Therefore, in another embodiment of the present disclosure, the target data bit may be the first data bit or the pilot bit or the second data bit, so that the probability of co-channel interference existing in the sub-slot carrying the first data bit or the sub-slot carrying the second data bit or the sub-slot carrying the pilot bit in the target slot can be determined through the above steps S1 to S3.
Thus, the probability of the co-channel interference can be determined through the steps S301 to S308, and the sampled data is demodulated according to the determination result, that is, when the probability of the co-channel interference is smaller than the preset threshold, the sampled data can be demodulated by using the first preset demodulation algorithm, and when the probability of the co-channel interference is greater than or equal to the preset threshold, the sampled data can be demodulated by using the second preset demodulation algorithm.
It should be noted that, if the target data bit includes a first data bit or a second data bit or a pilot bit, determining that the probability of co-channel interference existing in the target time slot is the probability of co-channel interference existing in the sub-time slot carrying the first data bit or the sub-time slot carrying the second data bit or the sub-time slot carrying the pilot bit in this step, so that co-channel interference can be determined for a part of time slots in one target time slot, and accuracy of co-channel interference determination is improved.
Correspondingly, when demodulating the sampled data, if the results of the different sub-time slot judgments are different, the demodulation methods used may also be different, for example, if the probability that the sub-time slot carrying the first data bit has co-frequency interference is smaller than a preset threshold, and the probability that the sub-time slot carrying the second data bit has co-frequency interference is greater than or equal to the preset threshold, during demodulation, the first data bit may be demodulated by using a first preset demodulation algorithm, and the second data bit may be demodulated by using a second preset demodulation algorithm.
By adopting the method, the situation that the same frequency interference exists and the situation that the same frequency interference does not exist is assumed, the LLR of the target data bit is calculated through corresponding different demodulation algorithms, and the probability of existence of the interference situation is judged through the calculated LLR corresponding to the two situations, so that the same frequency interference is judged more accurately, and the accuracy of judging the same frequency interference can be ensured even in the situation that the signal to noise ratio is low.
It should be noted that, for simplicity of description, the above method embodiments are all expressed as a series of action combinations, but those skilled in the art should understand that the present disclosure is not limited by the described action sequence. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the disclosure.
Fig. 4 is a device for determining co-channel interference according to an embodiment of the present disclosure, and as shown in fig. 4, the device includes:
an obtaining module 401, configured to obtain sample data of a target timeslot;
a first calculating module 402, configured to calculate a first log likelihood ratio LLR corresponding to a target data bit in the sample data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference;
a second calculating module 403, configured to calculate a second LLR corresponding to a target data bit in the sample data by using a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with same frequency interference;
and a processing module 404, configured to determine, according to the first LLR and the second LLR, a probability that co-channel interference exists in the target timeslot.
Optionally, as shown in fig. 5, the processing module 404 includes:
a first obtaining sub-module 4041, configured to obtain a sum of absolute values of the first LLR and a sum of absolute values of the second LLR corresponding to the target data bit in the sample data;
a calculating sub-module 4042, configured to calculate a likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR;
and the processing sub-module 4043 is configured to determine, according to the likelihood ratio, a probability that co-channel interference exists in the target timeslot.
Optionally, the target data bits include a first data bit and a second data bit, the first data bit being a data bit received before the pilot bit; the second data bit is a data bit received after the pilot bit;
the first obtaining sub-module 4041 is configured to add the absolute values of the first LLRs corresponding to each of the first data bits to obtain a first sum, and add the absolute values of the second LLRs corresponding to each of the first data bits to obtain a second sum; adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum;
the calculating submodule 4042 is configured to obtain the likelihood ratio according to the following formula:
Figure BDA0001528189320000171
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4Is the fourth sum, N1Is the number of the first data bits, N2Is the number of the second data bits.
Optionally, the target data bits include first and second data bits and pilot bits, the first data bit being a data bit received before the pilot bit; the second data bit is a data bit received after the pilot bit;
the first obtaining sub-module 4041 is configured to add the absolute values of the first LLRs corresponding to each of the first data bits to obtain a first sum, and add the absolute values of the second LLRs corresponding to each of the first data bits to obtain a second sum; adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum; determining a first calculated value corresponding to a first LLR of the pilot bit, wherein the first calculated value comprises an absolute value of the first LLR or an inverse number of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a fifth sum; determining a second calculated value corresponding to a second LLR of the pilot bit, wherein the second calculated value comprises an absolute value of the second LLR or an inverse number of the absolute value of the second LLR; adding the second calculated values corresponding to each pilot frequency bit to obtain a sixth sum;
the calculating submodule 4042 is configured to obtain the likelihood ratio according to the following formula:
Figure BDA0001528189320000172
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4For the fourth sum, LLR5For the fifth sum, LLR6Is the sixth sum, N1Is the number of the first data bits, N2Is the number of the second data bits, N3Is the number of pilot bits.
Optionally, the target data bit includes a first data bit or a pilot bit or a second data bit, and the calculating sub-module 4042 is configured to obtain the likelihood ratio by the following formula when the target data bit includes the first data bit or the second data bit:
Figure BDA0001528189320000181
wherein LR is the likelihood ratio, LLRnIs the sum of absolute values of the first LLR, LLRmIs the sum of the absolute values of the second LLRs, N being the number of target data bits;
the first computing value is used for determining a first LLR of the pilot bit when the target data bit comprises the pilot bit, and the first computing value comprises an absolute value of the first LLR or a negative of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a seventh sum; determining a second calculated value corresponding to a second LLR of the pilot bit, wherein the second calculated value comprises an absolute value of the second LLR or an inverse number of the absolute value of the second LLR; adding the second calculated value corresponding to each pilot bit to obtain an eighth sum, and obtaining the likelihood ratio by the following formula:
Figure BDA0001528189320000182
wherein LR is the likelihood ratio, LLRpFor the seventh sum, LLRqFor the eighth sum, N is the number of target data bits.
Optionally, the processing sub-module 4043 is configured to determine whether the likelihood ratio is a positive number, determine that co-channel interference exists in the target time slot when the likelihood ratio is a positive number, and determine that co-channel interference does not exist in the target time slot when the likelihood ratio is a negative number; alternatively, the first and second liquid crystal display panels may be,
obtaining the probability of the existence of co-channel interference by the formula P1 ═ LR/(1+ LR); wherein, P1 is the probability of co-channel interference, and LR is the likelihood ratio; alternatively, the first and second electrodes may be,
the device is used for determining a target likelihood ratio range where the likelihood ratio is located in a preset likelihood ratio range, and determining an interference probability corresponding to the target likelihood ratio range, wherein the interference probability represents the probability of co-channel interference; wherein different preset likelihood ratio ranges correspond to different interference probabilities.
Optionally, the target data bit includes each data bit in the sample data, and the processing module is configured to obtain a first bit stream corresponding to each data bit in the sample data according to the first LLR; reconstructing a first estimated received signal according to the first bit stream, and obtaining a first interference estimated signal according to the first estimated received signal; obtaining a second bit stream corresponding to each data bit in the sample data according to the second LLR; reconstructing a second estimated received signal according to the second bit stream, and obtaining a second interference estimated signal according to the second estimated received signal; and determining the probability of co-channel interference existing in the target time slot according to the first estimated received signal, the first interference estimated signal, the second estimated received signal and the second interference estimated signal.
Optionally, the processing module 404 is configured to calculate a first signal to interference ratio estimation value according to the first estimated received signal and the first interference estimation signal through a preset signal to interference ratio algorithm; calculating a second signal-to-interference ratio estimation value according to the second estimated received signal and the second interference estimation signal through the preset signal-to-interference ratio algorithm; and determining the probability of co-channel interference existing in the target time slot according to the first signal-to-interference ratio estimation value and the second signal-to-interference ratio estimation value.
Optionally, the preset signal-to-interference ratio algorithm includes:
calculating the first or second signal-to-interference ratio estimate by:
Figure BDA0001528189320000191
wherein, when calculating the first sir estimate, CI is the first sir estimate, y (n) is the first estimated received signal, and e (n) is the first interference estimated signal; when calculating a second sir estimate, CI is the second sir estimate, y (n) is the second estimated received signal, and e (n) is the second interference estimated signal;
m is the number of all data bits in the sample data, and n represents the nth data bit in the sample data.
Optionally, the processing module 404 is configured to determine that the co-channel interference exists in the target timeslot when it is determined that the second sir estimate is greater than or equal to the first sir estimate; when the second signal-to-interference ratio estimation value is smaller than the first signal-to-interference ratio estimation value, determining that the co-channel interference does not exist in the target time slot; or calculating a difference value between the second signal-to-interference ratio estimation value and the first signal-to-interference ratio estimation value, determining a target difference value range in which the difference value is located in a preset difference value range, and determining an interference probability corresponding to the target difference value range, wherein the interference probability represents the probability of co-channel interference, and different preset difference value ranges correspond to different interference probabilities.
By adopting the device, the situation that the same frequency interference exists and the situation that the same frequency interference does not exist is assumed, the LLR of the target data bit is calculated through corresponding different demodulation algorithms, and the probability of existence of the interference situation is judged through the calculated LLR corresponding to the two situations, so that the same frequency interference is judged more accurately.
It should be noted that, as is clear to those skilled in the art, for convenience and brevity of description, the specific working process and description of the apparatus may refer to the corresponding process in the foregoing method embodiment, and are not described herein again.
The present disclosure also provides a computer-readable storage medium 1 including one or more programs for performing the above-described method of determining co-channel interference.
The present disclosure also provides a device for determining co-channel interference, including:
the above-mentioned computer-readable storage medium 1; and
one or more processors for executing the program in the computer-readable storage medium 1.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (18)

1. A method for determining co-channel interference, comprising:
acquiring sampling data of a target time slot;
calculating a first log likelihood ratio LLR corresponding to a target data bit in the sampling data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference;
calculating a second LLR corresponding to a target data bit in the sampling data through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with same frequency interference;
determining the probability of co-channel interference of the target time slot according to the first LLR and the second LLR;
the determining the probability of co-channel interference of the target time slot according to the first LLR and the second LLR comprises:
acquiring a sum of absolute values of first LLRs and a sum of absolute values of second LLRs corresponding to target data bits in the sampled data;
calculating to obtain a likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR;
determining the probability of co-channel interference existing in the target time slot according to the likelihood ratio;
the determining the probability of co-channel interference existing in the target time slot according to the likelihood ratio comprises:
when the likelihood ratio is determined to be a positive number, determining that co-channel interference exists in the target time slot; when the likelihood ratio is determined to be a negative number, determining that co-channel interference does not exist in the target time slot;
or comprises the following steps:
obtaining the probability of the existence of co-channel interference by the formula P1= LR/(1+ LR);
wherein, P1 is the probability of co-channel interference and LR is the likelihood ratio;
or comprises the following steps:
determining a target likelihood ratio range where the likelihood ratio is located in a preset likelihood ratio range;
determining the interference probability corresponding to the target likelihood ratio range, wherein the interference probability represents the probability of the existence of co-channel interference; wherein different preset likelihood ratio ranges correspond to different interference probabilities.
2. The method of claim 1, wherein the target data bits comprise a first data bit and a second data bit, and wherein the first data bit is a data bit received before a pilot bit; the second data bits are data bits received after the pilot bits;
the obtaining of the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR corresponding to the target data bit in the sample data includes:
adding the absolute values of the first LLRs corresponding to each first data bit to obtain a first sum, and adding the absolute values of the second LLRs corresponding to each first data bit to obtain a second sum;
adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum;
the calculating the likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR includes:
the likelihood ratio is obtained by the following formula:
Figure 104580DEST_PATH_IMAGE001
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4Is the fourth sum, N1Is the number of the first data bits, N2Is the number of the second data bits.
3. The method of claim 1, wherein the target data bits comprise first and second data bits and pilot bits, and wherein the first data bits are data bits received before pilot bits; the second data bits are data bits received after the pilot bits;
the obtaining of the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR corresponding to the target data bit in the sample data includes:
adding the absolute values of the first LLRs corresponding to each first data bit to obtain a first sum, and adding the absolute values of the second LLRs corresponding to each first data bit to obtain a second sum;
adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum;
determining a first calculated value corresponding to a first LLR of the pilot bits, wherein the first calculated value comprises an absolute value of the first LLR or an inverse of the absolute value of the first LLR;
adding the first calculated values corresponding to each pilot frequency bit to obtain a fifth sum;
determining a second calculated value corresponding to a second LLR of the pilot bits, wherein the second calculated value comprises an absolute value of the second LLR or an inverse of the absolute value of the second LLR;
adding the second calculated values corresponding to each pilot frequency bit to obtain a sixth sum;
the calculating the likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR includes:
the likelihood ratio is obtained by the following formula:
Figure 756141DEST_PATH_IMAGE002
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4For the fourth sum, LLR5For the fifth sum, LLR6Is the sixth sum, N1Is the number of the first data bits, N2Is the number of the second data bits, N3Is the number of pilot bits.
4. The method of claim 1, wherein the target data bits comprise first data bits or pilot bits or second data bits,
when the target data bit includes a first data bit or a second data bit, the calculating the likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR includes:
the likelihood ratio is obtained by the following formula:
Figure 270299DEST_PATH_IMAGE003
wherein LR is the likelihood ratio, LLRnIs the sum of absolute values of the first LLRs, LLRsmIs the sum of the absolute values of the second LLRs, N being the number of target data bits;
when the target data bit includes a pilot bit, before calculating a likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR, the method further includes:
determining a first calculated value corresponding to a first LLR of the pilot bits, wherein the first calculated value comprises an absolute value of the first LLR or an inverse of the absolute value of the first LLR;
adding the first calculated values corresponding to each pilot frequency bit to obtain a seventh sum;
determining a second calculated value corresponding to a second LLR of the pilot bits, wherein the second calculated value comprises an absolute value of the second LLR or an inverse of the absolute value of the second LLR;
adding the second calculated values corresponding to each pilot frequency bit to obtain an eighth sum;
the calculating the likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR includes:
the likelihood ratio is obtained by the following formula:
Figure 665509DEST_PATH_IMAGE004
wherein LR is the likelihood ratio, LLRpFor the seventh sum, LLRqFor the eighth sum, N is the number of target data bits.
5. The method of claim 1, wherein the target data bit comprises each data bit in the sampled data, and wherein determining the probability of co-channel interference for the target time slot based on the first LLR and the second LLR further comprises:
acquiring a first bit stream corresponding to each data bit in the sampling data according to the first LLR;
reconstructing a first estimated received signal according to the first bit stream, and obtaining a first interference estimated signal according to the first estimated received signal;
acquiring a second bit stream corresponding to each data bit in the sampling data according to the second LLR;
reconstructing a second estimated received signal according to the second bit stream, and obtaining a second interference estimated signal according to the second estimated received signal;
and determining the probability of co-channel interference existing in the target time slot according to the first estimated received signal, the first interference estimated signal, the second estimated received signal and the second interference estimated signal.
6. The method of claim 5, wherein the determining the probability of co-channel interference in the target timeslot according to the first estimated received signal, the first interference estimated signal, the second estimated received signal and the second interference estimated signal comprises:
calculating a first signal-to-interference ratio estimation value according to the first estimation receiving signal and the first interference estimation signal through a preset signal-to-interference ratio algorithm;
calculating a second signal-to-interference ratio estimation value according to the second estimated received signal and the second interference estimation signal through the preset signal-to-interference ratio algorithm;
and determining the probability of co-channel interference of the target time slot according to the first signal-to-interference ratio estimation value and the second signal-to-interference ratio estimation value.
7. The method of claim 6, wherein the predetermined signal-to-interference ratio algorithm comprises:
calculating the first or second signal-to-interference ratio estimate by:
Figure 214302DEST_PATH_IMAGE005
when calculating a first signal-to-interference ratio estimation value, CI is the first signal-to-interference ratio estimation value, y (n) is the first estimated received signal, and e (n) is the first interference estimation signal; when calculating a second sir estimate, CI is the second sir estimate, y (n) is the second estimated received signal, and e (n) is the second interference estimated signal;
m is the number of all data bits in the sample data, and n represents the nth data bit in the sample data.
8. The method according to claim 6 or 7, wherein the determining the probability of co-channel interference in the target timeslot according to the first interference estimation signal and the second interference estimation signal comprises:
when the second signal-to-interference ratio estimation value is determined to be larger than or equal to the first signal-to-interference ratio estimation value, determining that the co-channel interference exists in the target time slot; when the second signal-to-interference ratio estimation value is smaller than the first signal-to-interference ratio estimation value, determining that the co-channel interference does not exist in the target time slot; alternatively, the first and second electrodes may be,
calculating a difference value between the second signal-to-interference ratio estimation value and the first signal-to-interference ratio estimation value, determining a target difference value range where the difference value is located in a preset difference value range, and determining an interference probability corresponding to the target difference value range, wherein the interference probability represents the probability of co-channel interference, and different preset difference value ranges correspond to different interference probabilities.
9. An apparatus for determining co-channel interference, comprising:
the acquisition module is used for acquiring the sampling data of the target time slot;
the first calculation module is used for calculating a first log likelihood ratio LLR corresponding to a target data bit in the sampling data through a first preset demodulation algorithm; the first preset demodulation algorithm is a demodulation algorithm applicable to a scene without same frequency interference;
the second calculation module is used for calculating a second LLR corresponding to a target data bit in the sampling data through a second preset demodulation algorithm; the second preset demodulation algorithm is a demodulation algorithm applicable to a scene with same frequency interference;
a processing module, configured to determine, according to the first LLR and the second LLR, a probability that co-channel interference exists in the target timeslot;
the processing module comprises:
a first obtaining sub-module, configured to obtain a sum of absolute values of first LLRs and a sum of absolute values of second LLRs corresponding to a target data bit in the sample data;
the calculation sub-module is used for calculating the likelihood ratio corresponding to the target data bit according to the sum of the absolute values of the first LLR and the sum of the absolute values of the second LLR;
the processing submodule is used for determining the probability of co-channel interference existing in the target time slot according to the likelihood ratio;
the processing submodule is used for determining whether the likelihood ratio is a positive number, determining that co-channel interference exists in the target time slot when the likelihood ratio is the positive number, and determining that co-channel interference does not exist in the target time slot when the likelihood ratio is a negative number; alternatively, the first and second electrodes may be,
obtaining the probability of the existence of co-channel interference by the formula P1= LR/(1+ LR); wherein, P1 is the probability of co-channel interference, and LR is the likelihood ratio; alternatively, the first and second electrodes may be,
the device is used for determining a target likelihood ratio range where the likelihood ratio is located in a preset likelihood ratio range, and determining interference probability corresponding to the target likelihood ratio range, wherein the interference probability represents the probability of co-channel interference; wherein different preset likelihood ratio ranges correspond to different interference probabilities.
10. The apparatus of claim 9, wherein the target data bits comprise a first data bit and a second data bit, and wherein the first data bit is a data bit received before a pilot bit; the second data bits are data bits received after the pilot bits;
the first obtaining sub-module is configured to add absolute values of first LLRs corresponding to each first data bit to obtain a first sum, and add absolute values of second LLRs corresponding to each first data bit to obtain a second sum; adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum;
the calculation submodule is used for obtaining the likelihood ratio through the following formula:
Figure 20452DEST_PATH_IMAGE006
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4Is the fourth sum, N1Is the number of the first data bits, N2Is the number of the second data bits.
11. The apparatus of claim 9, wherein the target data bits comprise first and second data bits and pilot bits, and wherein the first data bits are data bits received before pilot bits; the second data bits are data bits received after the pilot bits;
the first obtaining sub-module is configured to add absolute values of first LLRs corresponding to each first data bit to obtain a first sum, and add absolute values of second LLRs corresponding to each first data bit to obtain a second sum; adding the absolute values of the first LLRs corresponding to each second data bit to obtain a third sum, and adding the absolute values of the second LLRs corresponding to each second data bit to obtain a fourth sum; determining a first calculated value corresponding to a first LLR of the pilot bits, wherein the first calculated value comprises an absolute value of the first LLR or an inverse of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a fifth sum; determining a second calculated value corresponding to a second LLR of the pilot bits, wherein the second calculated value comprises an absolute value of the second LLR or an inverse of the absolute value of the second LLR; adding the second calculated values corresponding to each pilot frequency bit to obtain a sixth sum;
the calculation submodule is used for obtaining the likelihood ratio through the following formula:
Figure 21906DEST_PATH_IMAGE007
wherein LR is the likelihood ratio, LLR1For the first sum, LLR2For the second sum, LLR3For the third sum, LLR4For the fourth sum, LLR5For the fifth sum, LLR6Is the sixth sum, N1Is the number of the first data bits, N2Is the number of the second data bits, N3Is the number of pilot bits.
12. The apparatus of claim 9, wherein the target data bit comprises a first data bit or a pilot bit or a second data bit, and wherein the computing sub-module is configured to obtain the likelihood ratio according to the following formula when the target data bit comprises the first data bit or the second data bit:
Figure 955227DEST_PATH_IMAGE008
wherein LR is the likelihood ratio, LLRnIs the sum of absolute values of the first LLRs, LLRsmIs the sum of the absolute values of the second LLRs, N being the number of target data bits;
the apparatus is further configured to determine a first calculated value corresponding to a first LLR of a pilot bit when the target data bit comprises the pilot bit, where the first calculated value comprises an absolute value of the first LLR or a negative of the absolute value of the first LLR; adding the first calculated values corresponding to each pilot frequency bit to obtain a seventh sum; determining a second calculated value corresponding to a second LLR of the pilot bits, wherein the second calculated value comprises an absolute value of the second LLR or an inverse of the absolute value of the second LLR; adding the second calculated values corresponding to each pilot bit to obtain an eighth sum, and obtaining the likelihood ratio by the following formula:
Figure 358527DEST_PATH_IMAGE009
wherein LR is the likelihood ratio, LLRpFor the seventh sum, LLRqFor the eighth sum, N is the number of target data bits.
13. The apparatus of claim 9, wherein the target data bits comprise each data bit in the sampled data, and wherein the processing module is further configured to obtain a first bit stream corresponding to each data bit in the sampled data according to the first LLR; reconstructing a first estimated received signal according to the first bit stream, and obtaining a first interference estimated signal according to the first estimated received signal; acquiring a second bit stream corresponding to each data bit in the sampling data according to the second LLR; reconstructing a second estimated received signal according to the second bit stream, and obtaining a second interference estimated signal according to the second estimated received signal; and determining the probability of co-channel interference existing in the target time slot according to the first estimated received signal, the first interference estimated signal, the second estimated received signal and the second interference estimated signal.
14. The apparatus of claim 13, wherein the processing module is configured to calculate a first sir estimate from the first estimated received signal and the first interference estimated signal through a predetermined sir algorithm; calculating a second signal-to-interference ratio estimation value according to the second estimated received signal and the second interference estimation signal through the preset signal-to-interference ratio algorithm; and determining the probability of co-channel interference of the target time slot according to the first signal-to-interference ratio estimation value and the second signal-to-interference ratio estimation value.
15. The apparatus of claim 14, wherein the predetermined signal-to-interference ratio algorithm comprises:
calculating the first or second signal-to-interference ratio estimate by:
Figure 86311DEST_PATH_IMAGE010
when calculating a first signal-to-interference ratio estimation value, CI is the first signal-to-interference ratio estimation value, y (n) is the first estimated received signal, and e (n) is the first interference estimation signal; when calculating a second sir estimate, CI is the second sir estimate, y (n) is the second estimated received signal, and e (n) is the second interference estimated signal;
m is the number of all data bits in the sample data, and n represents the nth data bit in the sample data.
16. The apparatus according to claim 14 or 15, wherein the processing module is configured to determine that the co-channel interference exists in the target timeslot when it is determined that the second sir estimate is greater than or equal to the first sir estimate; when the second signal-to-interference ratio estimation value is smaller than the first signal-to-interference ratio estimation value, determining that the co-channel interference does not exist in the target time slot; or calculating a difference value between the second signal-to-interference ratio estimation value and the first signal-to-interference ratio estimation value, determining a target difference value range in which the difference value is located in a preset difference value range, and determining an interference probability corresponding to the target difference value range, wherein the interference probability represents the probability of co-channel interference, and different preset difference value ranges correspond to different interference probabilities.
17. A computer-readable storage medium, characterized in that the computer-readable storage medium includes one or more programs for performing the method of any one of claims 1 to 8.
18. An apparatus for determining co-channel interference, comprising:
the computer-readable storage medium recited in claim 17; and
one or more processors to execute the program in the computer-readable storage medium.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005107084A2 (en) * 2004-04-26 2005-11-10 Hellosoft Inc. Method and apparatus for improving mlse in the presence of co-channel interferer for gsm/gprs systems
CN101547449A (en) * 2009-05-04 2009-09-30 中国移动通信集团浙江有限公司 Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization
CN101616427A (en) * 2009-07-29 2009-12-30 普天信息技术研究院有限公司 Multi-user MIMO test method between a kind of base station
CN104717679A (en) * 2013-12-17 2015-06-17 北京神州泰岳软件股份有限公司 Signal optimization method and system
CN105722111A (en) * 2014-12-05 2016-06-29 中国移动通信集团公司 Method and device for interference detection
CN106535243A (en) * 2016-11-21 2017-03-22 山东省计算中心（国家超级计算济南中心） Wireless body area network communication system interruption probability analyzing method based on k-mu shadow fading channel
CN108141785A (en) * 2015-10-27 2018-06-08 华为技术有限公司 The removing method and device of a kind of co-channel interference

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8295418B2 (en) * 2007-03-15 2012-10-23 Qualcomm Incorporated Adjacent channel interference detection for wireless communication

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005107084A2 (en) * 2004-04-26 2005-11-10 Hellosoft Inc. Method and apparatus for improving mlse in the presence of co-channel interferer for gsm/gprs systems
CN101547449A (en) * 2009-05-04 2009-09-30 中国移动通信集团浙江有限公司 Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization
CN101616427A (en) * 2009-07-29 2009-12-30 普天信息技术研究院有限公司 Multi-user MIMO test method between a kind of base station
CN104717679A (en) * 2013-12-17 2015-06-17 北京神州泰岳软件股份有限公司 Signal optimization method and system
CN105722111A (en) * 2014-12-05 2016-06-29 中国移动通信集团公司 Method and device for interference detection
CN108141785A (en) * 2015-10-27 2018-06-08 华为技术有限公司 The removing method and device of a kind of co-channel interference
CN106535243A (en) * 2016-11-21 2017-03-22 山东省计算中心（国家超级计算济南中心） Wireless body area network communication system interruption probability analyzing method based on k-mu shadow fading channel

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
5G大规模MIMO高低频信道模型对比探讨;黄陈横;《移动通信》;20170730(第14期);全文 *
Hiroshi Yoshioka ; Yushi Shirato ; Kazuji Watanabe ; Keisuke Nakano.《Novel MLSE Interference Canceller with an APC Circuit that Compensates for Phase Rotation of Interference Signals》.《2008 4th IEEE International Conference on Circuits and Systems for Communications》.2008, *
Jiunn-Tsair Chen ; Jen-Wei Liang ; Huan-Shang Tsai ; Young-Kai Chen.《Low-complexity joint MLSE receiver in the presence of CCI》.《 IEEE Communications Letters ( Volume: 2, Issue: 5, May 1998)》.1998, *
MIMO系统中利用空间相关性的同信道干扰消除算法;赵慧等;《电子科技大学学报》;20080330(第02期);全文 *
多用户检测技术的发展与应用;居美艳;《电力系统通信》;20041210(第12期);全文 *
赵慧等.MIMO系统中利用空间相关性的同信道干扰消除算法.《电子科技大学学报》.2008,(第02期), *

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